NVIDIA is looking for a hardworking Practical Engineer for the Firmware and Cloud Lab team. As a part of the team, you will deploy new servers, install new OS's, perform maintenance and implement automation system scripts for tests for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with NVIDIA's networking NIC's Firmware team and gain an understanding of NVIDIA's products and technologies.
What you will be doing:
Own servers maintenance, regression stability, monitoring and reporting
Perform necessary pre-operation activities in a lab environment to ensure proper equipment startup and operation on multiple pieces of equipment
Communicate with team members to ensure continuous integration at high-quality levels with minimal wasted time and materials
Develop automated processes to achieve flawless and efficient environment for complex regression and development setups
What we need to see:
Ability to work in a fast-paced, high-speed environment, follow standardized work in a continuous improvement environment
Practical engineering certificate (graduated)
2+ years of relevant experience in automation flows and lab operation
Experience in working over Linux OS
Good coding skills - python and bash
Creativity, motivation, team spirit, fast learning skills and independence
Excellent communication skills in Hebrew and English
Ways to stand out from the crowd:
Knowledge in Networking and protocols
Working with Git, agile approach, Jenkins
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build future interconnect architectures that will continue to drive us forward in the fields of High-Performance Computing, Graphics, AI and Networking.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Skills Required
- Practical engineering certificate (graduated)
- 2+ years relevant experience in automation flows and lab operation
- Experience working with Linux OS
- Proficient coding skills in Python
- Proficient scripting skills in Bash
- Excellent communication skills in Hebrew and English
- Ability to work in a fast-paced environment and follow standardized work
- Creativity, motivation, team spirit, fast learning skills, and independence
- Knowledge in Networking and protocols
- Experience with Git
- Experience with Jenkins
- Familiarity with agile approaches
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
